In carrying out the project, participants are
expected to pay attention to the following points:
i) Theme of the study
The theme of study should be related to areas
such as Hong Kong’s social characteristics (e.g.
housing, education, social welfare and environmental
protection) or economic characteristics (e.g.
external trade and structural changes of the
economy).
ii) Selection of data sets
Participants should select data relevant to their
theme of study for analysis. Major data sources are
restricted to official statistics found in
publications of the Government of the Hong Kong
Special Administrative Region. Participants may make
reference to the publication “Catalogue of
Statistical Products and Services” published by the
Census and Statistics Department (C&SD) or visit the
C&SD website (http://www.censtatd.gov.hk) to assist
them in identifying appropriate government
statistical publications or data. Participants may
also make use of data sets found in other
publications as supplementary data sources.
Participants are not allowed to use data
obtained from self-conducted surveys for the purpose
of the project.
(Although sample surveys are commonly used in
collecting statistical data on social and economic
affairs, the proper conduct of all the stages of a
sample survey requires theoretical knowledge,
experience and substantial resources. Unreliable or
biased results may be obtained from sample surveys
due to improper design or inadequacy in
implementation; and these results may not only be
meaningless but actually misleading and harmful. The
Society wishes to avoid, as far as possible, this
unsatisfactory situation.)
iv) Analysis and interpretation of data sets and
presentation of results
Participants should thoroughly study and analyze
the data sets selected. They are encouraged to
conduct simple data analysis and statistical
reasoning and, as far as possible, to avoid
sophisticated statistical methods.
Participants should fully present the facts and
information behind the figures. The results of the
analysis should be properly presented, using summary
statistics or graphical displays as appropriate.
Discussions, arguments and findings should be based
mainly on the analysis of data presented.
v) Preparation of report
The project should be submitted in the form of a
report. The title of the report should reflect the
chosen theme. In the report, the topic of the study
should be properly introduced, results of the
analysis clearly stated and conclusions drawn
summarized.
The report should be handwritten or typewritten
in either Chinese or English. The report should
comprise no more than 20 pages of A4 size paper,
including all appendices.
Data sources and other relevant references should
be mentioned in footnotes or in the bibliography.
Submitted reports will not be returned.
vi) Originality of the study and project report
The study and compilation of the project report
should be carried out by the participants
themselves.
Teachers may give guidance and advice on
identification of study theme and data analysis.
However, they should not participate in the actual
study work or the preparation of project report.
Plagiarism in whatever manner, including directly
copying charts and tables from the Internet, will
form the basis for disqualification.
The adjudication panel will comprise professionals
working in the field of statistics, including academics
from post-secondary institutions and statisticians from
the Census and Statistics Department. The projects will
be assessed on the basis of the following criteria:
a)
Appropriate use of descriptive statistics and
statistical analysis/reasoning;
b) Sound
interpretation of data and analyses;
c) Clear
and neat presentation of findings;
d) Good
grasp of the theme of study;
e) Use of
relevant and adequate data sets; and
f)
Fluency of language.
Top
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Chairman
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Mr. Simon YEUNG, Census and Statistics Department
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Treasurer
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Ms. Alvina KWAN, Census and Statistics Department
|
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Chief
Adjudicator
|
Dr. LI Leong-kwan, Polytechnic University of Hong Kong
|
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Publicity
Sub-committee
|
Mr. Leo YU, Census and Statistics Department
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Seminar
Sub-committee
|
Ms. Rebecca SIU, Census and Statistics Department
|
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Prize-giving
Ceremony Sub-committee
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Mr. Keith PANG, Census and Statistics Department
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Adjudication
Sub-committee
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Ms. Marion CHAN, Census and Statistics Department
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